Composite neural network load models for power system stability analysis

Ali Keyhani, Wenzhe Lu, Gerald T. Heydt

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Citations (Scopus)

Abstract

Proper load models are essential to power system stability analysis. This paper proposes a methodology for the development of neural network (NN) based composite load models for power system stability analysis. A two-step modeling procedure is proposed. First knowledge is acquired from a test bed of power systems based on detail load models of a bus to the distribution level. Then, the test bed data is used to develop a composite NN model. The developed NN model is updated based on measurements. A case study on a power inverter controling an induction motor load is presented.

Original languageEnglish (US)
Title of host publication2004 IEEE PES Power Systems Conference and Exposition
Pages1159-1163
Number of pages5
Volume2
StatePublished - 2004
Event2004 IEEE PES Power Systems Conference and Exposition - New York, NY, United States
Duration: Oct 10 2004Oct 13 2004

Other

Other2004 IEEE PES Power Systems Conference and Exposition
CountryUnited States
CityNew York, NY
Period10/10/0410/13/04

Fingerprint

System stability
Neural networks
Composite materials
Induction motors

Keywords

  • Artificial neural networks
  • Composite load modeling
  • Power systems
  • Stability analysis

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Keyhani, A., Lu, W., & Heydt, G. T. (2004). Composite neural network load models for power system stability analysis. In 2004 IEEE PES Power Systems Conference and Exposition (Vol. 2, pp. 1159-1163)

Composite neural network load models for power system stability analysis. / Keyhani, Ali; Lu, Wenzhe; Heydt, Gerald T.

2004 IEEE PES Power Systems Conference and Exposition. Vol. 2 2004. p. 1159-1163.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Keyhani, A, Lu, W & Heydt, GT 2004, Composite neural network load models for power system stability analysis. in 2004 IEEE PES Power Systems Conference and Exposition. vol. 2, pp. 1159-1163, 2004 IEEE PES Power Systems Conference and Exposition, New York, NY, United States, 10/10/04.
Keyhani A, Lu W, Heydt GT. Composite neural network load models for power system stability analysis. In 2004 IEEE PES Power Systems Conference and Exposition. Vol. 2. 2004. p. 1159-1163
Keyhani, Ali ; Lu, Wenzhe ; Heydt, Gerald T. / Composite neural network load models for power system stability analysis. 2004 IEEE PES Power Systems Conference and Exposition. Vol. 2 2004. pp. 1159-1163
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